# Inkling vs Qwen-14B

> Inkling is the stronger model overall, scoring 44.1 to 30.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/inkling-vs-qwen-14b
- Last updated: 2026-10-10
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. Inkling scores higher in 7 categories and Qwen-14B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Inkling leads 65.5 to 27.8.

## Snapshot

| | Inkling | Qwen-14B |
|---|---|---|
| Provider | Thinking Machines Lab | Alibaba (Qwen) |
| Noometry Index | 44.1 | 30.8 |
| Rank | 75 | 273 |
| Context | 66K | — |
| Input $/M | $1.87 | — |
| Output $/M | $4.68 | — |
| Weights | Open | Open |

## Coding

- Inkling: 34.1 (#229)
- Qwen-14B: 30.6 (#283)

| Benchmark | Inkling | Qwen-14B |
|---|---|---|
| LMArena Coding | 1463 | 1072 |
| FrontierCode | 14% | — |
| LMArena WebDev | 1412 | — |
| FrontierSWE | 4.1% | — |
| SciCode | 47% | — |
| WeirdML | 32.3% | — |
| ALE-Bench | 946 | — |

## Agentic & Tool Use

- Inkling: 29.5 (#76)
- Qwen-14B: —

| Benchmark | Inkling | Qwen-14B |
|---|---|---|
| APEX-Agents | 33.8% | — |
| τ²-bench Banking | 25% | — |

## Reasoning

- Inkling: 40.6 (#48)
- Qwen-14B: 18.7 (#255)

| Benchmark | Inkling | Qwen-14B |
|---|---|---|
| LMArena Hard Prompts | 1452 | 1027 |
| Epoch Capabilities Index | 148.6 | 112.8 |
| ARC-AGI-2 | 36.5% | — |
| SimpleBench | 50% | — |
| ARC-AGI-1 | 79.5% | — |
| CritPt | 5.4% | — |
| Chess Puzzles | 21% | — |
| DTBench | 87.5% | — |
| LMCA | 37.6% | — |
| BIG-Bench Hard | — | 55% |
| LAMBADA | — | 71.1% |
| PIQA | — | 79.9% |

## Math

- Inkling: 31.2 (#198)
- Qwen-14B: 28.7 (#224)

| Benchmark | Inkling | Qwen-14B |
|---|---|---|
| LMArena Math | 1482 | 1068 |
| FrontierMath (Tiers 1-3) | 33.3% | — |
| FrontierMath Tier 4 | 4.9% | — |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| ProofBench | 0% | — |
| GSM8K | — | 61.3% |

## Knowledge

- Inkling: 55.2 (#44)
- Qwen-14B: —

| Benchmark | Inkling | Qwen-14B |
|---|---|---|
| GPQA Diamond | 88.3% | — |
| SimpleQA Verified | 40.3% | — |
| LMArena Expert | 1468 | — |
| ARC (AI2) Challenge | — | 84.4% |
| BoolQ | — | 86.2% |
| MMLU | — | 66.3% |

## Multilingual

- Inkling: 54.2 (#49)
- Qwen-14B: 27.7 (#270)

| Benchmark | Inkling | Qwen-14B |
|---|---|---|
| LMArena Non-English | 1434 | 1042 |
| LMArena Chinese | 1495 | 1077 |
| LMArena French | 1453 | — |
| LMArena German | 1456 | — |
| LMArena Japanese | 1428 | — |
| LMArena Korean | 1401 | — |
| LMArena Russian | 1430 | — |
| LMArena Spanish | 1442 | — |

## Instruction Following

- Inkling: 75.3 (#65)
- Qwen-14B: 52.6 (#284)

| Benchmark | Inkling | Qwen-14B |
|---|---|---|
| LMArena Instruction Following | 1427 | 1031 |

## Long Context

- Inkling: 43.9 (#79)
- Qwen-14B: 31.3 (#276)

| Benchmark | Inkling | Qwen-14B |
|---|---|---|
| LMArena Longer Query | 1436 | 1029 |

## Writing & Preference

- Inkling: 65.5 (#48)
- Qwen-14B: 27.8 (#294)

| Benchmark | Inkling | Qwen-14B |
|---|---|---|
| LMArena Text | 1443 | 1051 |
| LMArena Creative Writing | 1390 | 1028 |
| LMArena Multi-Turn | 1436 | 1022 |
| EQ-Bench Creative Writing | 1611 | — |
| EQ-Bench 4 | 1226 | — |

## FAQ

### Is Inkling better than Qwen-14B?

Inkling is the stronger model overall, scoring 44.1 to 30.8 on the Noometry Index.

### Is Inkling or Qwen-14B better for coding?

Inkling scores higher on coding benchmarks: 34.1 versus 30.6 in the Noometry coding category.

### How many benchmarks do Inkling and Qwen-14B share?

11 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and Qwen-14B has 18.